Vox Day has an interesting piece on his use of AI--specifically Deep Research--to evaluate the mathematical impossibility of evolution by natural selection. When he first ran his inquiry, though, the AI spit out an answer that basically mirrored the consensus, plus said that he (Day) didn't understand what he was talking about. Day then relates:
I was genuinely taken aback at the apparent certainty of the AI’s probability determination. But I also found it very hard to believe I could have gotten the numbers so hopelessly wrong, and that little shot about “fundamental misunderstandings of how evolution works” was just far too reminiscent of the sort of rhetoric to which innumerate biologists are prone to be serious. That made me suspicious. So, I looked more closely at the analysis, and below is Deep Research’s final conclusion after I went through its critique and spotted the three fundamental errors it was making, then asked it to either justify or correct those errors. Unlike the average evolutionary biologist, it admitted the errors, redid its calculations, and duly reported its revised conclusion as follows.
And what the AI reported was "within empirically grounded evolutionary biology, the Maximal Mutations argument exposes not just a tension but a fundamental impossibility in molecular evolution as currently understood."
Sounds like when people try to talk to AI about Electric Universe or the Liquid Sun Model. First regurgitating the standard arguments, then caving when asked more probing questions.
ReplyDeleteAt least they will admit mistakes ... for now.
DeleteSomething more than mere math.
ReplyDelete